This automation recipe makes unreliable equipment visible in hours rather than anecdotes. Every outage is logged against the asset, lost hours are totalled, and the machines that keep breaking earn their place on a replacement conversation.
Why This Matters
Everyone knows which machine is the problem, and nobody has the number that justifies replacing it. Logging downtime consistently converts a shared frustration into a capital case with evidence behind it.
What This Automation Does
- Structured memory: Track asset, outage start, restore time, cause, parts used, and owner.
- Decision views: A downtime table by asset and a calendar showing when outages cluster.
- AI assistance: An agent summarizes repeat causes per asset so the pattern is stated, not inferred.
- Execution: A scheduled pass totals hours per period and flags assets over your threshold.
How To Use It
- List your assets and their expected available hours.
- Make outage logging a two-field task so it actually gets done.
- Set the downtime threshold that triggers a review.
- Name the owner who takes the replace-or-repair decision.
Who It Is For
Maintenance managers, plant supervisors, and field service operators.
Capability Boundary
This records and totals what your team logs. It does not read machine telemetry or predict a failure.
Build it in Taskade, pair with the field service automations, or see automations execution.